Teaching
Teaching Within the framework of its cooperations with both German and foreign universities IWH researchers are actively committed to teaching by offering academic courses. These…
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Halle Institute for Economic Research
Job Market candidates from the IWH-DPE 2025/2026 Marius Fournés' dissertation explores how climate policy shapes cross-border capital flows and how globalisation influences…
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Workshop on Firm Dynamism in Japan
Workshop on Firm Dynamism in Japan 12 May 2025 Tokyo This international workshop was held at Gakushuin University and supported by KAKENHI grant 25K05112, and brought together…
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CAED 2020 Seminar: Exploring High Frequency Business Dynamics
CAED 2020 Seminar: Exploring High Frequency Business Dynamics CAED 2020 hat not taken place this year. Instead, while waiting for CAED 2021, we will have seminar on every last…
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2nd FINPRO - Finance and Productivity Conference
2nd FINPRO - Finance and Productivity Conference A conference jointly organised by the Competitiveness Research Network (CompNet), the European Bank for Reconstruction and…
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Policy Output
Policy Briefs This section features CompNet-related policy briefs —concise, focused papers addressing key topics in the field of competitiveness, drawing on both CompNet data and…
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Macroeconomic Reports
Macroeconomic Reports Local and global: IWH regularly provides current economic data - be it about the state of the East German economy, the macroeconomic development in Germany…
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Charts
Info Graphs Sometimes pictures say more than a thousand words. Therefore, we selected a few graphs to present our main topics visually. If you should have any questions or would…
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Advances in Using Vector Autoregressions to Estimate Structural Magnitudes
Christiane Baumeister, James D. Hamilton
Econometric Theory,
No. 3,
2024
Abstract
This paper surveys recent advances in drawing structural conclusions from vector autoregressions (VARs), providing a unified perspective on the role of prior knowledge. We describe the traditional approach to identification as a claim to have exact prior information about the structural model and propose Bayesian inference as a way to acknowledge that prior information is imperfect or subject to error. We raise concerns from both a frequentist and a Bayesian perspective about the way that results are typically reported for VARs that are set-identified using sign and other restrictions. We call attention to a common but previously unrecognized error in estimating structural elasticities and show how to correctly estimate elasticities even in the case when one only knows the effects of a single structural shock.
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Research Data Centre
Research Data Centre (IWH-RDC) Direct link to our Data Offer The IWH Research Data Centre offers external researchers access to microdata and micro-aggregated data sets that…
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